Eczema Disease Detection and Recognition in Cloud Computing

作     者：Azmi Shawkat Abdulbaki Samir Abdulrasoul Khadim Saif Al-din M. Najim 

作者机构：College of Computer Science & Info. Tech. University of Anbar Ramadi Iraq Dept. of Computer Science University of Al-Maarif College Ramadi Iraq 

出 版 物：《Computer Technology and Application》 (计算机技术与应用（英文版）)

年 卷 期：2016年第7卷第1期

页      面：57-64页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

主　　题：BpNN cloud computing EDD (eczema disease detection) Skin Inflammation GA (genetic algorithm) 

摘      要：ED (eczema disease) is the most common form of skin inflammation in humans. Most of the skin disease is curable at initial stages with the advancement of technology. So, an early detection of skin disease can save the patient’s life and prevent theprogression of the disease. It is proposed to have a study on the diagnosis of ED using BpNN (backpropagation neural network) in cloud computing approach due to that BpNN is currently widespread research area in medicine and plays an important role in a decision support system. In this paper, an attempt has been made to make use of BpNN in the medical field along cloud computing to detect ED.